This diagram gives the idea of the maps we are using, where for all .
We've spent a long time talking about the adjoint. As such, let's look at some nice properties of certain operators.
self-adjoint
An operator is called self-adjoint if :
for all .
A lot of nice properties come as a result of this:
Lemma
The eigenvalues of a self-adjoint operator are always real.
Proof
Suppose for some non-zero . We'll show has no imaginary component. Notice that:
so since then so divide by it, showing so then must be real.
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Properties of Adjoint Operators
is finite-dimensional complex inner product space.
for all is equivalent to .
for all is equivalent to .
Proof
The proof of (a) comes from the idea that if is a sum of things that look like then the whole thing is 0 by assumption. The reverse direction is pretty obvious though.
For (b), notice if our supposition is true then:
So then the whole thing is 0, so is the zero map, and thus must be equal (all iff).
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Proposition
If (ie: is self-adjoint) and for all , then , considering is a real vector space
Proof
This is different from the previous lemma, as there we were in a complex inner product space. The proof is very similar, and we'll skip it for here.
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Normal Operators
normal operators
An operator is called normal if:
in other words, commutes with its adjoint.
Note that if , then this always happens. So all self-adjoint operators are normal. But the other way is not true.
As an example, consider with being a LI set. Define the map:
thus:
so then:
notice these don't equal, so is not self-adjoint. But is normal?